Claude Code Prompts is a collection of independently written prompt templates for building AI coding agents, covering system behavior, tool use, delegation, memory, and coordination between agents. Developers use the templates as references when designing or configuring coding assistants inspired by observed Claude Code patterns. The catalogue skills are prompt-based agent workflows from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add repowise-dev/claude-code-prompts --skill coding-agent-standardsgit clone --depth 1 https://github.com/repowise-dev/claude-code-promptsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/repowise-dev/claude-code-prompts/coding-agent-standards)<a href="https://agentmods.dev/skills/repowise-dev/claude-code-prompts/coding-agent-standards"><img src="https://agentmods.dev/badge/skills/repowise-dev/claude-code-prompts/coding-agent-standards/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/repowise-dev/claude-code-prompts/coding-agent-standards"><img src="https://agentmods.dev/badge/skills/repowise-dev/claude-code-prompts/coding-agent-standards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00231 |
| Opus 5.5 | $0.00014 | $0.00092 |
| Sonnet 5.5 | $0.00007 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
coding-agent-standards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Coding Agent Standards
Purpose
Use this skill to keep code changes predictable, reviewable, and safe.
Default Behavior
- Clarify the requested outcome and constraints before editing.
- Prefer small, focused changes over broad refactors.
- Preserve existing behavior unless a behavior change is requested.
- Keep naming, structure, and style consistent with nearby code.
- Add or update tests when behavior changes.
Implementation Checklist
- Confirm the smallest viable file set to edit.
- Handle edge cases and explicit failure paths.
- Avoid speculative abstractions and dead code.
- Add concise comments only where intent is not obvious.
- Run available validation steps before finalizing.
Delivery Format
When reporting completion:
- What changed (files and intent).
- Why it changed (problem solved or risk reduced).
- How it was verified (tests, checks, or manual validation).
- Remaining risks, assumptions, or follow-ups.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 31 lines · 35 tokens per session scan A 9cff0868fcb8
coding-agent-standards is a skill published in the GitHub repository repowise-dev/claude-code-prompts (1,216 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 231 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
TEMPLATE
../../../agents/personas/TEMPLATE.md.
handoff
Create a structured session handoff when context is running low or work is pausing. Deep context mining, self-validation, multi-file splitting. Captures everything the next session needs.
handoffplan
Run /handoff to capture session data, then write a phased implementation plan that references it. Creates beads for tracking.
review
Review current code changes for bugs, regressions, test gaps, and project-guideline violations.
extremerouter-stt
Speech-to-text via ExtremeRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
extremerouter
Entry point for ExtremeRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions ExtremeRouter, NINEROUTERURL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant…